Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been developed.
Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A novel soft tissue-integrated kinematic solver for skeletal motion: Validation and applications.

Computer methods and programs in biomedicine·2025
Same author

CAD-ASTRA: a versatile and efficient mesh projector for X-ray tomography with the ASTRA-toolbox.

Optics express·2024
Same author

Joint multi-contrast CT for edge illumination X-ray phase contrast imaging using split Barzilai-Borwein steps.

Optics express·2024
Same author

A Condensed History Approach to X-Ray Dark Field Effects in Edge Illumination Phase Contrast Simulations.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2023
Same author

dtiRIM: A generalisable deep learning method for diffusion tensor imaging.

NeuroImage·2023
Same author

Accuracy and repeatability of joint sparsity multi-component estimation in MR Fingerprinting.

NeuroImage·2022
Same journal

LiftReg: Limited Angle 2D/3D Deformable Registration.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
Same journal

Inverse Consistency by Construction for Multistep Deep Registration.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
Same journal

Can Crowdsourced Annotations Improve AI-based Congestion Scoring For Bedside Lung Ultrasound?

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
Same journal

Equivariant Filters for Efficient Tracking in 3D Imaging.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
Same journal

Lobar Lung Density Embeddings with a Transformer encoder (LobTe) to predict emphysema progression in COPD.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
Same journal

uniGradICON: A Foundation Model for Medical Image Registration.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
See all related articles

Related Experiment Video

Updated: Jun 8, 2026

Comprehensive Autopsy Program for Individuals with Multiple Sclerosis
09:41

Comprehensive Autopsy Program for Individuals with Multiple Sclerosis

Published on: July 19, 2019

General and efficient super-resolution method for multi-slice MRI.

D H J Poot1, V Van Meir, J Sijbers

  • 1BIGR, Erasmus Medical Center, Rotterdam.

Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
|October 1, 2010
PubMed
Summary
This summary is machine-generated.

This study introduces a new method to reconstruct high-resolution 3D MR images from lower-resolution scans, improving image quality and acquisition efficiency. The technique enhances medical imaging by creating detailed 3D models from multi-slice data.

More Related Videos

Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla
08:51

Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla

Published on: February 19, 2021

High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain
10:06

High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain

Published on: May 10, 2012

Related Experiment Videos

Last Updated: Jun 8, 2026

Comprehensive Autopsy Program for Individuals with Multiple Sclerosis
09:41

Comprehensive Autopsy Program for Individuals with Multiple Sclerosis

Published on: July 19, 2019

Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla
08:51

Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla

Published on: February 19, 2021

High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain
10:06

High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain

Published on: May 10, 2012

Area of Science:

  • Medical Imaging
  • Image Reconstruction
  • Magnetic Resonance Imaging (MRI)

Background:

  • Acquisition of 3D MRI data often involves trade-offs between resolution and efficiency.
  • Multi-slice 3D MRI scans typically have high in-plane resolution but low through-plane resolution.
  • Existing super-resolution methods for MRI have limitations in accuracy and efficiency.

Purpose of the Study:

  • To develop an improved method for reconstructing high-resolution 3D MR images from arbitrary multi-slice acquisitions.
  • To enhance the efficiency of MRI data acquisition without compromising final image quality.
  • To present a novel and efficient affine transformation method for multi-dimensional images.

Main Methods:

  • A model of the MRI acquisition process was developed and improved upon previous methods.
  • A large system of linear equations was formulated based on the acquisition model.
  • The conjugated gradient method was employed to solve the linear system and reconstruct high-resolution images.
  • A new, efficient affine transformation technique was introduced for multi-dimensional images.

Main Results:

  • A high-resolution 3D MR image was successfully reconstructed from multi-slice data with varying slice orientations.
  • The developed method demonstrated improved performance compared to existing super-resolution techniques for MRI.
  • The efficiency of MRI acquisition can be increased while maintaining the potential for high-resolution reconstruction.

Conclusions:

  • The proposed method effectively reconstructs high-resolution 3D MR images from efficient, lower-resolution acquisitions.
  • The novel affine transformation technique facilitates accurate reconstruction of images with arbitrary slice orientations.
  • This approach offers a valuable tool for enhancing the quality and utility of 3D MRI data in medical applications.